cellmigRation

This is the development version of cellmigRation; for the stable release version, see cellmigRation.

Track Cells, Analyze Cell Trajectories and Compute Migration Statistics


Bioconductor version: Development (3.21)

Import TIFF images of fluorescently labeled cells, and track cell movements over time. Parallelization is supported for image processing and for fast computation of cell trajectories. In-depth analysis of cell trajectories is enabled by 15 trajectory analysis functions.

Author: Salim Ghannoum [aut, cph], Damiano Fantini [aut, cph], Waldir Leoncio [cre, aut], Øystein Sørensen [aut]

Maintainer: Waldir Leoncio <w.l.netto at medisin.uio.no>

Citation (from within R, enter citation("cellmigRation")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("cellmigRation")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cellmigRation")
cellmigRation HTML R Script
Reference Manual PDF
README Text
NEWS Text

Details

biocViews CellBiology, DataImport, DataRepresentation, Software
Version 1.15.0
In Bioconductor since BioC 3.13 (R-4.1) (3.5 years)
License GPL-2
Depends R (>= 4.1), methods, foreach
Imports tiff, graphics, stats, utils, reshape2, parallel, doParallel, grDevices, matrixStats, FME, SpatialTools, sp, vioplot, FactoMineR, Hmisc
System Requirements
URL https://github.com/ocbe-uio/cellmigRation/
Bug Reports https://github.com/ocbe-uio/cellmigRation/issues
See More
Suggests knitr, rmarkdown, dplyr, ggplot2, RUnit, BiocGenerics, BiocManager, kableExtra, rgl
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package cellmigRation_1.15.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/cellmigRation
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cellmigRation
Bioc Package Browser https://code.bioconductor.org/browse/cellmigRation/
Package Short Url https://bioconductor.org/packages/cellmigRation/
Package Downloads Report Download Stats